Suying Dang

37 papers and 389 indexed citations i.

About

Suying Dang is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Suying Dang has authored 37 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Hematology and 10 papers in Cancer Research. Recurrent topics in Suying Dang’s work include Platelet Disorders and Treatments (10 papers), Cell Adhesion Molecules Research (10 papers) and Protease and Inhibitor Mechanisms (8 papers). Suying Dang is often cited by papers focused on Platelet Disorders and Treatments (10 papers), Cell Adhesion Molecules Research (10 papers) and Protease and Inhibitor Mechanisms (8 papers). Suying Dang collaborates with scholars based in China, United States and Belgium. Suying Dang's co-authors include Zhugang Wang, Ying Kuang, Thomas Wısnıewskı, Rui Zhu, Wei Zhang, Dawei Bu, Shunyuan Lu, Yi-Hsuan Pan, Wei Zhang and Michael Nardi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Suying Dang i

Fields of papers citing papers by Suying Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suying Dang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suying Dang. The network helps show where Suying Dang may publish in the future.

Countries citing papers authored by Suying Dang

Since Specialization
Citations

This map shows the geographic impact of Suying Dang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suying Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suying Dang more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025